Triple

T5504704
Position Surface form Disambiguated ID Type / Status
Subject Danbury Branch E144410 entity
Predicate hasStation P35 FINISHED
Object Bethel station
Bethel station is a commuter rail stop in Bethel, Connecticut, served by Metro-North Railroad on its Danbury Branch line.
 E534509 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bethel station | Statement: [Danbury Branch, hasStation, Bethel station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bethel station
Context triple: [Danbury Branch, hasStation, Bethel station]
  • A. Milton station
    Milton station is a light rail stop on the MBTA's Mattapan Trolley line in Milton, Massachusetts, serving local commuters on the Red Line's historic trolley branch.
  • B. Westwood station
    Westwood station is a New Jersey Transit commuter rail stop in Westwood, New Jersey, serving passengers on the Pascack Valley Line.
  • C. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • D. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • E. Winfield station
    Winfield station is a commuter rail stop in Winfield, Illinois, served by Metra’s Union Pacific West Line in the Chicago metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bethel station
Triple: [Danbury Branch, hasStation, Bethel station]
Generated description
Bethel station is a commuter rail stop in Bethel, Connecticut, served by Metro-North Railroad on its Danbury Branch line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bethel station
Target entity description: Bethel station is a commuter rail stop in Bethel, Connecticut, served by Metro-North Railroad on its Danbury Branch line.
  • A. Milton station
    Milton station is a light rail stop on the MBTA's Mattapan Trolley line in Milton, Massachusetts, serving local commuters on the Red Line's historic trolley branch.
  • B. Westwood station
    Westwood station is a New Jersey Transit commuter rail stop in Westwood, New Jersey, serving passengers on the Pascack Valley Line.
  • C. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • D. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • E. Winfield station
    Winfield station is a commuter rail stop in Winfield, Illinois, served by Metra’s Union Pacific West Line in the Chicago metropolitan area.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0d21848190ae8c41561eca6342 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04caef4e881909811f69360299a68 completed March 22, 2026, 8:10 p.m.
NEDg Description generation batch_69c04e827bdc819086e01e7043400452 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f088a3c81909610f1a564960e0f completed March 22, 2026, 8:20 p.m.
Created at: March 22, 2026, 3:32 p.m.